Convenient Quants
Collection
Small body, high IQ
•
10 items
•
Updated
This model phi-4-mini-reasoning-dwq5-mlx was converted to MLX format from microsoft/Phi-4-mini-reasoning using mlx-lm version 0.25.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("phi-4-mini-reasoning-dwq5-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
Base model
microsoft/Phi-4-mini-reasoning